Triple
T8026607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Neurosurgery, Johns Hopkins School of Medicine |
E186869
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object |
Department of Radiology, Johns Hopkins School of Medicine
The Department of Radiology at Johns Hopkins School of Medicine is a leading academic radiology center known for advanced imaging services, cutting-edge research, and comprehensive training of radiologists and imaging scientists.
|
E706160
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Department of Radiology, Johns Hopkins School of Medicine | Statement: [Department of Neurosurgery, Johns Hopkins School of Medicine, collaboratesWith, Department of Radiology, Johns Hopkins School of Medicine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Radiology, Johns Hopkins School of Medicine Context triple: [Department of Neurosurgery, Johns Hopkins School of Medicine, collaboratesWith, Department of Radiology, Johns Hopkins School of Medicine]
-
A.
Department of Radiology, Duke University
The Department of Radiology at Duke University is a leading academic and clinical radiology center known for advanced imaging research, innovative diagnostic and interventional services, and comprehensive resident and fellowship training.
-
B.
Department of Radiology
The Department of Radiology at Cairo University's Faculty of Medicine is an academic and clinical unit specializing in medical imaging education, research, and diagnostic services.
-
C.
Department of Radiology
The Department of Radiology is an academic medical department specializing in diagnostic imaging and image-guided therapies within the UNC School of Medicine.
-
D.
Department of Radiology
The Department of Radiology is a medical imaging division within New England Baptist Hospital that provides diagnostic and interventional imaging services to support patient care.
-
E.
Department of Radiology
The Department of Radiology at AIIMS Delhi is a leading medical imaging and diagnostic center in India, providing advanced radiological services, education, and research.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Department of Radiology, Johns Hopkins School of Medicine Triple: [Department of Neurosurgery, Johns Hopkins School of Medicine, collaboratesWith, Department of Radiology, Johns Hopkins School of Medicine]
Generated description
The Department of Radiology at Johns Hopkins School of Medicine is a leading academic radiology center known for advanced imaging services, cutting-edge research, and comprehensive training of radiologists and imaging scientists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Radiology, Johns Hopkins School of Medicine Target entity description: The Department of Radiology at Johns Hopkins School of Medicine is a leading academic radiology center known for advanced imaging services, cutting-edge research, and comprehensive training of radiologists and imaging scientists.
-
A.
Department of Radiology, Duke University
The Department of Radiology at Duke University is a leading academic and clinical radiology center known for advanced imaging research, innovative diagnostic and interventional services, and comprehensive resident and fellowship training.
-
B.
Department of Radiology
The Department of Radiology at Cairo University's Faculty of Medicine is an academic and clinical unit specializing in medical imaging education, research, and diagnostic services.
-
C.
Department of Radiology
The Department of Radiology is an academic medical department specializing in diagnostic imaging and image-guided therapies within the UNC School of Medicine.
-
D.
Department of Radiology
The Department of Radiology is a medical imaging division within New England Baptist Hospital that provides diagnostic and interventional imaging services to support patient care.
-
E.
Department of Radiology
The Department of Radiology at AIIMS Delhi is a leading medical imaging and diagnostic center in India, providing advanced radiological services, education, and research.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ecb00648190bb3144acf3492bb3 |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56da597c8190931091482d60b0a6 |
completed | March 31, 2026, 11:20 p.m. |
| NEDg | Description generation | batch_69cc58aac4288190a2be4691fc740171 |
completed | March 31, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cbf8278819085ff32a0494d544e |
completed | March 31, 2026, 11:46 p.m. |
Created at: March 30, 2026, 5:21 p.m.